Qdrant Cloud Inference - Embeddings Without External Pipelines

Generate embeddings natively in Qdrant Cloud - no external pipelines needed.

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Updated Jul 2026 · Added Jul 2026

qdrant.tech

Vector DatabasesFreevector-databases

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What is Qdrant Cloud Inference?

Qdrant Cloud Inference enables you to generate and store text and image embeddings directly within your managed Qdrant Cloud cluster, eliminating the need for separate model servers or external pipelines. It supports dense, sparse, and image models for hybrid and multimodal search capabilities, all from a single API. The service runs in-region on AWS, Azure, or GCP with lower latency and no external data transfer overhead, ideal for real-time applications requiring fast embedding generation and vector search.

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Key Features of Qdrant Cloud Inference

In-cluster inference on AWS, Azure, or GCP
Support for dense, sparse, and image embedding models
Hybrid and multimodal search capabilities
Lower latency with no external API hops
Up to 5 million free inference tokens monthly for paid clusters
Several free models with no token limits
Enabled by default on new clusters

Who Should Use Qdrant Cloud Inference?

Building vector search with semantic matching

Implementing hybrid search combining dense and sparse models

Creating multimodal search for text and image data

Real-time applications requiring low-latency embeddings

Retrieval Augmented Generation (RAG) systems

Recommendation systems

Anomalous data detection and analysis

Qdrant Cloud Inference: Pros & Cons

✓Pros

Native in-cluster inference eliminates external pipeline overhead
Reduced latency with in-region processing
No additional egress costs for data transfer
Supports multiple model types (dense, sparse, image)
Free monthly token allocation for paid cluster users
Multiple free models available with unlimited tokens
Works with both text and image data

✕Cons

US regions only for in-cluster inference
Paid models require a paid cluster subscription
Free models and external providers available but may have different performance characteristics
Incremental model availability based on customer feedback

Frequently Asked Questions about Qdrant Cloud Inference

Is Qdrant Cloud Inference available on free clusters?

Yes, free models and external model providers can be used in free Qdrant Cloud clusters. Paid models require a paid cluster.

What kinds of data can I embed?

You can embed both text and image data using the available models.

Where are the embeddings generated?

For Qdrant hosted models, embeddings are generated inside the network of your cluster, removing external API overhead. For external model providers, embeddings are generated by that provider.

How much does it cost?

Inference is billed per token with costs depending on the model. Paid Cloud users get up to 5 million free tokens monthly per model. Several models are offered completely free with no token limits.